Optimization of sample treatment for the identification of anthraquinone dyes by surface-enhanced Raman spectroscopy
The study and characterization of old artifacts such as pigments requires the use of techniques that need a small amount of sample to perform the analysis because of the high value of these samples. In recent years, organic molecules such as anthraquinone dyes have been identified by surface-enhance...
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| Veröffentlicht in: | Analytical and bioanalytical chemistry 2017-03, Vol.409 (8), p.2221-2228 |
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| creator | Marcaida, Iker Maguregui, Maite Morillas, Héctor García-Florentino, Cristina Pintus, Valentina Aguayo, Tomás Campos-Vallette, Marcelo Madariaga, Juan Manuel |
| description | The study and characterization of old artifacts such as pigments requires the use of techniques that need a small amount of sample to perform the analysis because of the high value of these samples. In recent years, organic molecules such as anthraquinone dyes have been identified by surface-enhanced Raman spectroscopy (SERS). However, different sample treatments must be applied to isolate the organic dye from the mordant, which produces great fluorescence in the Raman measurements. In this work, optimization of sample treatment for the SERS analysis of anthraquinone dyes was performed. Sample mass, the organic solvent, and its volume were optimized and different slide materials and excitation lasers were compared to choose the best conditions for the identification of the dyes. The optimization of sample treatment resulted in 5 mg of sample as the optimum amount. Further, two consecutive extractions with 0.5 mL of ethyl acetate was the best option for the extraction of the dye. A quartz slide was used instead of a glass slide to reduce background signal, and an excitation laser of 532 nm offers better results than one of 785 nm. The optimized method was applied to the characterization of the dyes used in Pompeian pink and purple lake pigments. Alizarin and purpurin anthraquinone dyes, obtained from madder lake, were identified as the organic colorants. The SERS results were confirmed by those obtained by means of UV–visible spectroscopy.
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| doi_str_mv | 10.1007/s00216-016-0169-6 |
| format | Article |
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Graphical Abstract
ᅟ</description><identifier>ISSN: 1618-2642</identifier><identifier>EISSN: 1618-2650</identifier><identifier>DOI: 10.1007/s00216-016-0169-6</identifier><identifier>PMID: 28084510</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Analytical Chemistry ; Anthraquinone dyes ; Biochemistry ; Characterization and Evaluation of Materials ; Chemistry ; Chemistry and Materials Science ; Dyes ; Excitation ; Food Science ; Historic buildings & sites ; Laboratory Medicine ; Lakes ; Lasers ; Mathematical analysis ; Monitoring/Environmental Analysis ; Optimization ; Pigments ; Raman spectroscopy ; Research Paper ; Solvents ; Spectroscopy</subject><ispartof>Analytical and bioanalytical chemistry, 2017-03, Vol.409 (8), p.2221-2228</ispartof><rights>Springer-Verlag Berlin Heidelberg 2017</rights><rights>Analytical and Bioanalytical Chemistry is a copyright of Springer, 2017.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c475t-d48c4f1e16a4684d1405216d7a7995264b3b07c73abf49e3ba8e26ea7eeea7ad3</citedby><cites>FETCH-LOGICAL-c475t-d48c4f1e16a4684d1405216d7a7995264b3b07c73abf49e3ba8e26ea7eeea7ad3</cites><orcidid>0000-0002-6258-2937</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s00216-016-0169-6$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s00216-016-0169-6$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,776,780,27901,27902,41464,42533,51294</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/28084510$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Marcaida, Iker</creatorcontrib><creatorcontrib>Maguregui, Maite</creatorcontrib><creatorcontrib>Morillas, Héctor</creatorcontrib><creatorcontrib>García-Florentino, Cristina</creatorcontrib><creatorcontrib>Pintus, Valentina</creatorcontrib><creatorcontrib>Aguayo, Tomás</creatorcontrib><creatorcontrib>Campos-Vallette, Marcelo</creatorcontrib><creatorcontrib>Madariaga, Juan Manuel</creatorcontrib><title>Optimization of sample treatment for the identification of anthraquinone dyes by surface-enhanced Raman spectroscopy</title><title>Analytical and bioanalytical chemistry</title><addtitle>Anal Bioanal Chem</addtitle><addtitle>Anal Bioanal Chem</addtitle><description>The study and characterization of old artifacts such as pigments requires the use of techniques that need a small amount of sample to perform the analysis because of the high value of these samples. In recent years, organic molecules such as anthraquinone dyes have been identified by surface-enhanced Raman spectroscopy (SERS). However, different sample treatments must be applied to isolate the organic dye from the mordant, which produces great fluorescence in the Raman measurements. In this work, optimization of sample treatment for the SERS analysis of anthraquinone dyes was performed. Sample mass, the organic solvent, and its volume were optimized and different slide materials and excitation lasers were compared to choose the best conditions for the identification of the dyes. The optimization of sample treatment resulted in 5 mg of sample as the optimum amount. Further, two consecutive extractions with 0.5 mL of ethyl acetate was the best option for the extraction of the dye. A quartz slide was used instead of a glass slide to reduce background signal, and an excitation laser of 532 nm offers better results than one of 785 nm. The optimized method was applied to the characterization of the dyes used in Pompeian pink and purple lake pigments. Alizarin and purpurin anthraquinone dyes, obtained from madder lake, were identified as the organic colorants. The SERS results were confirmed by those obtained by means of UV–visible spectroscopy.
Graphical Abstract
ᅟ</description><subject>Analytical Chemistry</subject><subject>Anthraquinone dyes</subject><subject>Biochemistry</subject><subject>Characterization and Evaluation of Materials</subject><subject>Chemistry</subject><subject>Chemistry and Materials Science</subject><subject>Dyes</subject><subject>Excitation</subject><subject>Food Science</subject><subject>Historic buildings & sites</subject><subject>Laboratory Medicine</subject><subject>Lakes</subject><subject>Lasers</subject><subject>Mathematical analysis</subject><subject>Monitoring/Environmental Analysis</subject><subject>Optimization</subject><subject>Pigments</subject><subject>Raman spectroscopy</subject><subject>Research 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of sample treatment for the identification of anthraquinone dyes by surface-enhanced Raman spectroscopy</title><author>Marcaida, Iker ; Maguregui, Maite ; Morillas, Héctor ; García-Florentino, Cristina ; Pintus, Valentina ; Aguayo, Tomás ; Campos-Vallette, Marcelo ; Madariaga, Juan Manuel</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c475t-d48c4f1e16a4684d1405216d7a7995264b3b07c73abf49e3ba8e26ea7eeea7ad3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Analytical Chemistry</topic><topic>Anthraquinone dyes</topic><topic>Biochemistry</topic><topic>Characterization and Evaluation of Materials</topic><topic>Chemistry</topic><topic>Chemistry and Materials Science</topic><topic>Dyes</topic><topic>Excitation</topic><topic>Food Science</topic><topic>Historic buildings & sites</topic><topic>Laboratory Medicine</topic><topic>Lakes</topic><topic>Lasers</topic><topic>Mathematical 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bioanalytical chemistry</jtitle><stitle>Anal Bioanal Chem</stitle><addtitle>Anal Bioanal Chem</addtitle><date>2017-03-01</date><risdate>2017</risdate><volume>409</volume><issue>8</issue><spage>2221</spage><epage>2228</epage><pages>2221-2228</pages><issn>1618-2642</issn><eissn>1618-2650</eissn><abstract>The study and characterization of old artifacts such as pigments requires the use of techniques that need a small amount of sample to perform the analysis because of the high value of these samples. In recent years, organic molecules such as anthraquinone dyes have been identified by surface-enhanced Raman spectroscopy (SERS). However, different sample treatments must be applied to isolate the organic dye from the mordant, which produces great fluorescence in the Raman measurements. In this work, optimization of sample treatment for the SERS analysis of anthraquinone dyes was performed. Sample mass, the organic solvent, and its volume were optimized and different slide materials and excitation lasers were compared to choose the best conditions for the identification of the dyes. The optimization of sample treatment resulted in 5 mg of sample as the optimum amount. Further, two consecutive extractions with 0.5 mL of ethyl acetate was the best option for the extraction of the dye. A quartz slide was used instead of a glass slide to reduce background signal, and an excitation laser of 532 nm offers better results than one of 785 nm. The optimized method was applied to the characterization of the dyes used in Pompeian pink and purple lake pigments. Alizarin and purpurin anthraquinone dyes, obtained from madder lake, were identified as the organic colorants. The SERS results were confirmed by those obtained by means of UV–visible spectroscopy.
Graphical Abstract
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| subjects | Analytical Chemistry Anthraquinone dyes Biochemistry Characterization and Evaluation of Materials Chemistry Chemistry and Materials Science Dyes Excitation Food Science Historic buildings & sites Laboratory Medicine Lakes Lasers Mathematical analysis Monitoring/Environmental Analysis Optimization Pigments Raman spectroscopy Research Paper Solvents Spectroscopy |
| title | Optimization of sample treatment for the identification of anthraquinone dyes by surface-enhanced Raman spectroscopy |
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